Language Models Pack Billions of Concepts into 12,000 Dimensions
nickyoder.com·5h·
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🧮Kolmogorov Complexity
ALIGNS: Unlocking nomological networks in psychological measurement through a large language model
arxiv.org·5h
🧠Intelligence Compression
Lessons from using AI in Discovery
thoughtbot.com·9h
🕵️Metadata Mining
An Engineer’s Answer to the HR Black Hole
dev.to·9h·
Discuss: DEV
🌊Streaming Systems
Topological Sort: Managing Mutable Structures in Haskell
mmhaskell.com·1h
🔗Topological Sorting
Integrating Clusters
optional.is·2d
📚Document Clustering
LLM Rerankers for RAG: A Practical Guide
fin.ai·12h·
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🔍Information Retrieval
Founders’ takes: Why we need European AI employees
thenextweb.com·3h
🇳🇴Norwegian Computing
Helping Define This Thing We Feel Lacking in LLM Responses
daniel.industries·19h
📼Cassette Linguistics
Mathematics Discovering Its Consciousness: Lasso Estimator as Cosmic Backdoor
zakelfassi.com·10h·
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🧮Kolmogorov Complexity
Companies have a lot of options for AI models to use. Ancestry says it's 'agnostic' and uses many of them.
businessinsider.com·23h
🌍Cultural Algorithms
How I became a machine learning practitioner (2019)
blog.gregbrockman.com·6h·
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🔩Systems Programming
Creativity Benchmark: A benchmark for marketing creativity for LLM models
arxiv.org·5h
🧠Intelligence Compression
How to Train an LLM-Recommender Hybrid that Speaks English & Item IDs
eugeneyan.com·1d
🔍Information Retrieval
The Rise of Semantic Entity Resolution
towardsdatascience.com·17h
📄Semantic Chunking
Decoding Team Synergy: How Spatial Intelligence Predicts Project Success by Arvind Sundararajan
dev.to·21h·
Discuss: DEV
🌍Cultural Algorithms
Ancient Scripts, Modern AI: Bridging the Divide with Morphology-Aware Tokenization by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
📝Concrete Syntax